Data Engineering

★★★★★

(2,095 ratings) 50,000+ Student

DATABRICKS WITH PYSPARK

The Databricks with PySpark course is designed for learners who want to build skills in big data processing, data engineering, and analytics using Databricks and PySpark. The training covers data transformation, distributed computing, ETL pipeline development, Spark architecture, data analysis, and real-world data engineering workflows. Through hands-on exercises and practical projects, students learn how to process large datasets efficiently and build scalable data solutions in cloud environments. As organizations increasingly rely on data-driven decision-making, this course is ideal for data engineers, data analysts, Spark developers, ETL professionals, and anyone looking to advance their career in modern data engineering and analytics.

Radical Technologies

50,000+ English 60 hours Weekdays / Weekends Classroom / Online / Corporate

Online / Classroom

IT Training Programme

Duration 60 hours

Batch Type Weekdays / Weekends

Mode of Training Classroom / Online / Corporate

Locations Pune, Bangalore, Kochi

Language English

Certification Globally Recognized

Call Now

100% placement assistance

What you'll learn

Understand core concepts and architecture from the ground up

Get hands-on with the tools used by working professionals

Build real-world projects you can add to your portfolio

Learn industry best practices and coding standards

Practice with real datasets and real-world scenarios

Prepare for certification and technical interviews

Work on collaborative, team-based exercises

Apply performance tuning and optimization techniques

Understand how the technology fits into a larger ecosystem

Complete assignments reviewed by mentors

Programme Overview

19 sections covering the complete curriculum — a single, progressive learning arc.

60 hours

Training Duration

Core Modules

195

Total Lessons

4.4★

Average Rating

50K+

Students Trained

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a Data Engineering role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

19 sections • 195 lessons • 60 hours

Jump to Section

Total Duration

60 hours

100% Practical · Unlimited Doubt Sessions

01 Module 1: Introduction to Big Data & Databricks

Introduction to Big Data

Challenges of Traditional Data Processing

Big Data Ecosystem Overview

Introduction to Apache Spark

What is Databricks?

Databricks Architecture

Lakehouse Architecture

Data Engineering Concepts

Batch vs Real-Time Processing

Distributed Computing Fundamentals

Databricks Workspace Overview

Databricks Use Cases in Industry

02 Module 2: Databricks Environment Setup

Creating Databricks Workspace

Cluster Configuration

Notebook Basics

Workspace Management

Databricks Runtime

Job Scheduling

DBFS (Databricks File System)

Secrets Management Basics

Workspace Security Basics

Cost Optimization Basics

Integration with Cloud Platforms

03 Module 3: Python Fundamentals for PySpark

Python Basics

Variables & Data Types

Operators

Conditional Statements

Loops

Functions

File Handling

Exception Handling

Modules & Packages

Working with JSON & CSV Files

Python Libraries for Data Engineering

04 Module 4: Apache Spark Fundamentals

Introduction to Apache Spark

Spark Architecture

Spark Components

Driver & Executor Concepts

Spark Cluster Managers

RDD Fundamentals

DataFrames Introduction

Datasets Overview

Lazy Evaluation

Transformations & Actions

Spark Execution Workflow

05 Module 5: PySpark DataFrame Operations

Creating DataFrames

Reading CSV, JSON, Parquet Files

Schema Definition

Selecting & Filtering Data

Sorting & Aggregations

GroupBy Operations

Joins in PySpark

Window Functions

User Defined Functions (UDF)

Handling Null Values

Duplicate Removal

DataFrame Optimization Techniques

06 Module 6: Data Processing & Transformation

ETL Concepts

Data Cleansing

Data Validation

Data Transformation Techniques

Data Enrichment

Flattening Nested Data

Complex JSON Processing

Incremental Data Loading

Batch Processing

Data Partitioning

Data Deduplication

07 Module 7: Delta Lake & Lakehouse Architecture

Introduction to Delta Lake

ACID Transactions

Delta Tables

Time Travel Feature

Schema Enforcement

Schema Evolution

Data Versioning

MERGE Operations

OPTIMIZE & VACUUM

Delta Lake Best Practices

Data Lake vs Lakehouse

08 Module 8: Databricks SQL & Analytics

Databricks SQL Basics

SQL Queries in Databricks

Joins & Subqueries

Window Functions

Temporary Views

Materialized Views Basics

Data Visualization

Dashboard Creation

Query Optimization

SQL Analytics Workflows

09 Module 9: Real-Time Streaming with PySpark

Introduction to Spark Streaming

Structured Streaming Concepts

Streaming Architecture

Reading Streaming Data

Kafka Integration Basics

Streaming Transformations

Watermarking Concepts

Window Operations

Streaming Aggregations

Fault Tolerance in Streaming

Real-Time Data Pipelines

10 Module 10: Cloud Integration with Databricks

AWS Integration

S3 Integration

IAM Roles Basics

AWS Data Pipeline Concepts

Azure Integration

Azure Data Lake Storage

Azure Synapse Basics

Azure Databricks

Google Cloud Basics

GCS Integration

BigQuery Integration Basics

11 Module 11: Security & Governance

Databricks Security Basics

Workspace Access Control

Role-Based Access Control

Data Encryption Basics

Secure Cluster Access

Unity Catalog Basics

Data Governance Concepts

Audit Logging

Compliance Basics

12 Module 12: Performance Optimization & Tuning

Spark Optimization Basics

Partitioning Strategies

Caching & Persistence

Broadcast Joins

Shuffle Optimization

Cluster Sizing

Job Performance Monitoring

Memory Management Basics

Spark UI Analysis

Cost Optimization

13 Module 13: Workflow Automation & Orchestration

Databricks Workflows

Job Scheduling

Notebook Automation

CI/CD Basics

Integration with Airflow

Delta Live Tables Basics

Workflow Monitoring

Pipeline Automation

14 Module 14: AI/ML Basics in Databricks

Introduction to MLflow

Machine Learning Workflow

Feature Engineering Basics

Model Tracking

Experiment Management

AI Integration Basics

Generative AI Overview

AI Use Cases in Data Engineering

15 Module 15: Monitoring & Troubleshooting

Cluster Monitoring

Job Failure Analysis

Spark UI Troubleshooting

Streaming Failure Recovery

Log Analysis

Debugging PySpark Jobs

Data Quality Monitoring

Pipeline Health Monitoring

16 Hands-on Labs & Assignments

Databricks Workspace Setup

PySpark Data Processing Labs

Delta Lake Table Creation

ETL Pipeline Development

Kafka Streaming Integration

SQL Analytics Dashboard

Data Cleansing Exercises

Spark Optimization Labs

Cloud Storage Integration

Workflow Automation Tasks

17 Real-Time Projects

Project 1: Retail Sales Data Pipeline

Ingest sales data

Clean & transform data

Build analytics dashboards

Project 2: Real-Time Log Analytics System

Kafka data ingestion

Streaming analytics

Alert generation

Project 3: Healthcare Data Lakehouse

Process patient records

Data quality validation

Delta Lake implementation

Project 4: Banking Fraud Detection Pipeline

Real-time transaction processing

Fraud pattern analysis

Streaming alerts

Project 5: E-Commerce Recommendation Analytics

User behavior analysis

Product recommendation insights

Dashboard visualization

18 Job-Oriented Scenarios

Optimize Slow Spark Jobs

Handle Large Volume Data Processing

Real-Time Streaming Failure Troubleshooting

Delta Lake Data Recovery

Cloud Storage Access Issues

Data Pipeline Failure Analysis

Spark Memory Optimization

Incremental Data Processing Scenarios

Multi-Cloud Databricks Integration

19 Assignments

Build ETL Pipelines

Create Delta Lake Tables

Implement Streaming Workflows

Optimize Spark Jobs

Build SQL Dashboards

Develop Data Validation Frameworks

Automate Databricks Workflows

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

195+

Hands-On Lessons

Core Modules

60 hours

Training Duration

100%

Practical Training

You don't just learn DATABRICKS WITH PYSPARK. You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

→Requirement Analysis

→Guided Implementation

→Mentor Review

→Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief

Step-by-step implementation

Mentor feedback and review

Documented outcome

Stack Core Concepts Best Practices

PROJECT // 02

Applied Practice Project

→Scenario Design

→Independent Build

→Testing & Validation

→Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation

Testing and validation

Documentation

Peer/mentor review

Stack Applied Skills Testing

PROJECT // 03

Capstone Project

→Planning

→End-to-End Build

→Review & Refinement

→Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution

Presentation-ready documentation

Mentor sign-off

Portfolio-ready deliverable

Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

Upcoming Batches

No upcoming batches scheduled right now. Enquire to get notified.

Why Radical Technologies

Live Online Training

Highly practical oriented training
Installation support on your system
24/7 Email and Phone support
100% Placement Assistance
Global Certification Preparation
Trainer-Student Interactive Portal
Assignments and Projects by Mentors

Enroll Now

Live Classroom Training

Weekend / Weekdays / Morning / Evening batches
80:20 Practical and Theory ratio
Real-life Case Studies
Easy make-up for missed sessions
PSI | Kryterion | Redhat Test Centers
Lifetime Video Classroom Access (coming soon)
Resume Prep and Mock Interviews

Enroll Now

Self-Paced Training

Learn 300+ courses at your own time
50,000+ Satisfied Learners
Course Completion Certificate
Practical Labs available
Mentor Support available
Doubt Clearing Session available
10% Discounted Global Certification

Enroll Now

Like the Curriculum? Let's Get Started

Join 50,000+ students already enrolled at Radical Technologies

Enroll Now

Global Certification

Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

Career Services

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.